Clipto raises $15M to search video like text

Clipto, a three-year-old startup that indexes and searches large video libraries the way a text search engine indexes documents, closed a new all-equity financing of $15 million, putting its post-money valuation at $250 million. Backers included the firm formerly known as Sequoia China (now HSG), along with GL Ventures, EnvisionX Capital, Palm Drive Capital, and individual investors Hans Tung and Lu Zhang, plus 522 Ventures.

The company was already profitable, generating $15 million in annual recurring revenue before closing the new capital. Founder Henry Kang said the money goes toward AI models, computing infrastructure, and integrations with additional AI agents, rather than toward reaching profitability.

Why it’s worth a beat

Most of the AI funding headlines this year are frontier labs burning billions to stay in the model race, or infrastructure plays like Together AI’s $800 million round. Clipto is the opposite shape: a narrow, defensible product, terabytes of video made searchable, that reached profitability before it needed to raise again, closer to how SkyPilot’s small, focused seed round approached the same category. That is closer to how AI-native software companies looked before the compute-cost era set in, and it is a useful counterweight to reading every funding round as proof the whole category is subsidized. It also points at where agent integrations are heading next: search built for AI agents to query directly, not just for humans typing keywords.